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{ "item_title" : "Principles of Knowledge Representation", "item_author" : [" Gerhard Brewka "], "item_description" : "The book contains a collection of eight survey papers written by some of the best researchers in foundations of knowledge representation and reasoning. It covers topics like theories of uncertainty, nonmonotonic and causal reasoning, logic programming, abduction, inductive logic programming, description logics, complexity in Artificial Intelligence, and model-based diagnosis. It thus provides an up-to-date coverage of recent approaches to some of the most challenging problems underlying knowledge representation and Artificial Intelligence in general.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/57/586/056/1575860562_b.jpg", "price_data" : { "retail_price" : "25.00", "online_price" : "25.00", "our_price" : "25.00", "club_price" : "25.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Principles of Knowledge Representation|Gerhard Brewka

Principles of Knowledge Representation

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Overview

The book contains a collection of eight survey papers written by some of the best researchers in foundations of knowledge representation and reasoning. It covers topics like theories of uncertainty, nonmonotonic and causal reasoning, logic programming, abduction, inductive logic programming, description logics, complexity in Artificial Intelligence, and model-based diagnosis. It thus provides an up-to-date coverage of recent approaches to some of the most challenging problems underlying knowledge representation and Artificial Intelligence in general.

This item is Non-Returnable

Details

  • ISBN-13: 9781575860565
  • ISBN-10: 1575860562
  • Publisher: Center for the Study of Language and Informat
  • Publish Date: October 1996
  • Dimensions: 9.02 x 6.03 x 0.81 inches
  • Shipping Weight: 1 pounds
  • Page Count: 334

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